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Strong Series D unicorn brand, metro location, mid-level backend role, broad skills and AI-native requirement drive high competition.
Core backend skills like distributed systems, REST, and database modeling are broadly transferable across industries.
Explicit 5+ years backend requirement plus AI-native and distributed-systems expertise enforces strict screening.
Design and implement highly scalable and available backend services with monitoring and alerting.
Drive full software development lifecycle including architecture, design, development, quality assurance, and maintenance with end-to-end ownership.
Use AI tools as a core part of development workflow—generate, pressure-test, and verify outputs to ensure high code quality.
Minimum 5+ years of backend development experience, with 3-4 years in senior roles.
Experience developing large-scale distributed web applications with appropriate observability.
Fluency in using AI tools in real development work with judgment to verify outputs.
Experience with database modeling (SQL or NoSQL) and designing RESTful services.
AI-native engineer who integrates AI deeply into development processes, ensuring quality and rigor in output.
Comfortable ramping quickly into unfamiliar, large codebases and confident managing change with consideration for potential impacts.
Possesses architectural ownership mindset with focus on scale, availability, monitoring, and operational readiness throughout the lifecycle.